Programme Theme

In the past decades, quantitative biology has been driven by new modelling-based stochastic dynamical systems and partial differential equations. Examples from gene regulation, molecular signalling, cell division and molecular transport, as recently revealed by live cell images, have shown that many processes in cells and in molecular biology are inherently driven by stochastic events. One of the biggest challenges we propose to address in this programme is to develop methods and analysis, as well as efficient algorithms for simulations, to bridge the range of different biological scales. In support of this goal, the programme will focus on

Analysis of stochastic dynamical systems and applications in molecular and cellular biology.

Development of efficient computational methods for simulating stochastic equations over various scales.

Identifying new research areas.

In particular, three interlinked focus areas will run throughout the programme:

Analysis, computation and development of non-spatial (well mixed) models.